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Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is sexually disparate in humans, with a significantly increased prevalence in males. The molecular mechanisms by which the inhibition or development of liver cancer are facilitated require further investigation with regard to sex factors affecting disease progression....

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Autores principales: Wu, Yuchao, Yao, Naijuan, Feng, Yali, Tian, Zhen, Yang, Yuan, Zhao, Yingren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667920/
https://www.ncbi.nlm.nih.gov/pubmed/31322260
http://dx.doi.org/10.3892/or.2019.7217
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author Wu, Yuchao
Yao, Naijuan
Feng, Yali
Tian, Zhen
Yang, Yuan
Zhao, Yingren
author_facet Wu, Yuchao
Yao, Naijuan
Feng, Yali
Tian, Zhen
Yang, Yuan
Zhao, Yingren
author_sort Wu, Yuchao
collection PubMed
description Hepatocellular carcinoma (HCC) is sexually disparate in humans, with a significantly increased prevalence in males. The molecular mechanisms by which the inhibition or development of liver cancer are facilitated require further investigation with regard to sex factors affecting disease progression. In the present study, functional signatures of differentially expressed genes (DEGs) were screened in female and male tumors via bioinformatics analysis. The following gene chip expression profiles were downloaded from the Gene Expression Omnibus: GSE19665, GSE23342 and GSE9843. They comprised cancerous and non-cancerous tissue from patients with HCC and included critical sex features. Further evaluation of selected DEGs in the two sexual groups was performed via hierarchical clustering analysis. Venn diagram and functional protein-protein interaction (PPI) network analyses were performed. Survival analysis of patients with differences in gene expression levels was subsequently performed using the Kaplan-Meier Plotter database. Certain identified DEGs were common in female and male tumor samples, whereas others exhibited a sexually-biased expression profile. Gene Ontology revealed that the cell cycle module ‘biological process’ was enriched in tumors derived from both sexes, whereas the metabolic pathways and drug metabolism modules were only significantly enriched in cancer tissues from male subjects. A number of hub DEGs in the cell cycle and p53 signaling pathways were involved in significant protein-protein interaction (PPI) modules, including CDK1 and CCNB1. These DEGs were upregulated in tumors derived from female subjects compared with those derived from male subjects, and could be used as markers of poor prognosis in male patients. Other genes, such as CYP3A4 and SERPINA4, were identified in metabolic pathways, and were downregulated in male compared with female subjects. These genes were associated with a decreased survival rate. The data demonstrated that sex differences in physiology may regulate the levels of gene expression and/or activity, including gene function associated with oncogenesis and the outcomes of liver cancer. Additional surveys are required to explore in detail the molecular mechanisms underlying the differences in gene expression between the two sexes during the development of liver cancer.
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spelling pubmed-66679202019-08-08 Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma Wu, Yuchao Yao, Naijuan Feng, Yali Tian, Zhen Yang, Yuan Zhao, Yingren Oncol Rep Articles Hepatocellular carcinoma (HCC) is sexually disparate in humans, with a significantly increased prevalence in males. The molecular mechanisms by which the inhibition or development of liver cancer are facilitated require further investigation with regard to sex factors affecting disease progression. In the present study, functional signatures of differentially expressed genes (DEGs) were screened in female and male tumors via bioinformatics analysis. The following gene chip expression profiles were downloaded from the Gene Expression Omnibus: GSE19665, GSE23342 and GSE9843. They comprised cancerous and non-cancerous tissue from patients with HCC and included critical sex features. Further evaluation of selected DEGs in the two sexual groups was performed via hierarchical clustering analysis. Venn diagram and functional protein-protein interaction (PPI) network analyses were performed. Survival analysis of patients with differences in gene expression levels was subsequently performed using the Kaplan-Meier Plotter database. Certain identified DEGs were common in female and male tumor samples, whereas others exhibited a sexually-biased expression profile. Gene Ontology revealed that the cell cycle module ‘biological process’ was enriched in tumors derived from both sexes, whereas the metabolic pathways and drug metabolism modules were only significantly enriched in cancer tissues from male subjects. A number of hub DEGs in the cell cycle and p53 signaling pathways were involved in significant protein-protein interaction (PPI) modules, including CDK1 and CCNB1. These DEGs were upregulated in tumors derived from female subjects compared with those derived from male subjects, and could be used as markers of poor prognosis in male patients. Other genes, such as CYP3A4 and SERPINA4, were identified in metabolic pathways, and were downregulated in male compared with female subjects. These genes were associated with a decreased survival rate. The data demonstrated that sex differences in physiology may regulate the levels of gene expression and/or activity, including gene function associated with oncogenesis and the outcomes of liver cancer. Additional surveys are required to explore in detail the molecular mechanisms underlying the differences in gene expression between the two sexes during the development of liver cancer. D.A. Spandidos 2019-09 2019-06-28 /pmc/articles/PMC6667920/ /pubmed/31322260 http://dx.doi.org/10.3892/or.2019.7217 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wu, Yuchao
Yao, Naijuan
Feng, Yali
Tian, Zhen
Yang, Yuan
Zhao, Yingren
Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title_full Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title_fullStr Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title_full_unstemmed Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title_short Identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
title_sort identification and characterization of sexual dimorphism-linked gene expression profile in hepatocellular carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667920/
https://www.ncbi.nlm.nih.gov/pubmed/31322260
http://dx.doi.org/10.3892/or.2019.7217
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